thanhnienyeumeo/pointNet_PointCloud

prepare library

pytorch
numpy
matplotlib

Architecture

main.ipynb: main file to run the training code
test_skeleton.ipynb: Test for skeleton
show_skeleton.ipynb: Create a animation of skeleton
feature_to_skeleton.py: makeSkeleton model (3 dense layer)
utlis: dataloader and provider (preprocessing point cloud data)
2 pointnet2 model with checkpoint and model code

Data

Using data 196 point cloud with 5 dimension (number samples x 196 x 5) Add data to this folder